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Related Experiment Videos

Numerical analysis of electrical defibrillation. The parallel approach

K T Ng1, S A Hutchinson, S Gao

  • 1Klipsch Department of Electrical and Computer Engineering, New Mexico State University, Las Cruces 88003, USA.

Journal of Electrocardiology
|January 1, 1995
PubMed
Summary

Massively parallel computing accelerates finite-element modeling for electrical defibrillation simulations. This enables efficient optimization of electrode configurations for complex thoracic anatomies.

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Area of Science:

  • Computational biology
  • Biomedical engineering
  • Numerical analysis

Background:

  • Numerical modeling is crucial for studying electrical defibrillation.
  • Finite-element method (FEM) is effective for complex thoracic anatomies.
  • Large FEM models require significant computational resources.

Purpose of the Study:

  • To investigate the use of massively parallel computers for large-scale FEM problems in defibrillation.
  • To develop efficient algorithms for parallel computation of thoracic models.
  • To present an automatic iterative procedure for electrode configuration optimization.

Main Methods:

  • Utilized massively parallel computers for FEM solutions.
  • Considered both uniform and unstructured grid approaches.

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  • Developed algorithms for mapping grids to parallel architectures.
  • Implemented a parallel direct search technique for optimization.

    • Main Results:

    • Demonstrated reduced solution times and memory requirements using parallel computing.
    • Presented computational performance and simulation results.
    • Showcased an effective automatic iterative procedure for electrode configuration optimization.

    Conclusions:

    • Massively parallel computing is essential for solving large FEM problems in electrical defibrillation.
    • Efficient parallel algorithms facilitate complex anatomical modeling and optimization.
    • This approach significantly enhances the feasibility of defibrillation research.